Version: 91.1

\[\\[.0005in]\] PARAMETERS OPTIMIZED
X__STOs.TimeFrame and X__STOs.Length

BEST PARAMETERS
X__STOs.TimeFrame = 240
X__STOs.Length = 44
Profit account= 42 (per day adjusted to desire% DD )
Activity = 28.45 (Cumulative number of entries in all pairs per week)
Desire DD = 10

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Profit per day standardized to the desire percent dropdown
Exclude pairs that when standardized to DD enter with less than $1,000 and pairs that fail to enter once a week



Capping pairs profit per day standardized to a desire percent dropdown
The figure below is like the one above but capping the profits of all pairs to a traget of 1%, this avoids biasing the summary results of an account when only a handful of pairs yield very large profits. This figure basically trying to provide a sense of the extent to which the strategy is profitable across pairs.



Comparison to prior optimizations of this robot. Double click on the plot to deselect all columns.



Number of pairs that meet 1% profit target



Results for X__STOs.TimeFrame = 240 and X__STOs.Length = 44

Best parameters
Profit nDays MaxDDMoney nLostEntries nEntries nWinTrades PercDD X Y Pair DDAccount DD3Perc MoneyEntryAdjusted ProfitAt3Perc ProfitStan3PercDay PercentDaysActive FailByAmount FailByTimeActive MeetTarget
238 3023.55 413.18 1109.16 12 1191 448 -3.7 240 44 GBPJPY 3.697200 270.47495 81142.49 8177.94547 19.7926944 2.882521 No No No
91 1806.37 413.68 706.99 12 439 169 -2.4 240 44 EURGBP 2.356633 424.33415 127300.24 7665.04477 18.5289228 1.061207 No No No
189 1563.65 425.14 1788.44 11 965 352 -6.0 240 44 EURUSD 5.961467 167.74396 50323.19 2622.92836 6.1695638 2.269840 No No No
42 1966.53 420.25 2736.07 15 1601 576 -9.1 240 44 AUDUSD 9.120233 109.64632 32893.90 2156.22773 5.1308215 3.809637 No No No
287 504.70 433.71 2481.74 13 1151 410 -8.3 240 44 GBPUSD 8.272467 120.88293 36264.88 610.09614 1.4066914 2.653847 No No No
336 39.98 412.24 3661.13 18 1567 547 -12.2 240 44 NZDUSD 12.203767 81.94191 24582.57 32.76038 0.0794692 3.801184 No No No
483 -111.83 429.34 2540.40 14 923 318 -8.5 240 44 USDJPY 8.468000 118.09164 35427.49 -132.06188 -0.3075928 2.149811 No No No
140 -277.84 408.92 2542.90 13 946 328 -8.5 240 44 EURJPY 8.476333 117.97554 35392.66 -327.78324 -0.8015828 2.313411 No No No
532 -1662.10 431.53 7067.76 13 1889 650 -23.6 240 44 XAUUSD 23.559200 42.44626 12733.88 -705.49934 -1.6348790 4.377448 No No No
434 -1690.29 422.43 4319.93 13 925 310 -14.4 240 44 USDCHF 14.399767 69.44557 20833.67 -1173.83152 -2.7787598 2.189712 No No No
385 -1384.21 424.24 2807.30 12 743 244 -9.4 240 44 USDCAD 9.357667 106.86425 32059.27 -1479.22559 -3.4867660 1.751367 No No No

Results by pair

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Results by pair capped to desired 1% profit
This is the same as above, but caps pairs to max desire profit to avoid visual bias by pairs with very lage profits

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Results within desire DD, top 5 with most winning trades, and ranked by Profit per day at desire DD
One is in the search of a unique combination of parameters that can be used across forex pairs; the reality is, however, that they represent countries with vast differences in economic power, which can cause specific patterns within certain pairs, thus, in most likelihoods parameters are specific to each forex pair. Here I show the best results for each pair.

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Default parameters
Parameter Value
3 X__Name.for.robot Karol
4 X__Show.only.entry.triggers true
5 X__Show.only.Exit.triggers 0
6 X__Show.labels.for.type.of.signals 0
7 X__Trading.times 19:45
8 X__Source close
9 X__Cash.each.entry 30 000
10 X__Minimum.profit.take 0.2
11 X__Stop.loss..close.positions.when.lossing.this.much.percent 0.1
12 X__Stochastic.slow.for.direction true
13 X__Stochastic.slow.for.position true
14 X__STOs.Threshold 20
15 X__STOs.TimeFrame 15 minutes
16 X__STOs.Length 24
17 X__STOs.Smoothing 16
18 X__Stochastic.fast.for.direction 0
19 X__Stochastic.fast.for.position 0
20 X__STOf.Threshold 50
21 X__STOf.Timeframe 30 minutes
22 X__STOf.Length 16
23 X__STOf.Smoothing 16
24 X__030.Percentage.Price.Oscillator.for.trigger 0
25 X__PPO.Fast.Type EMA
26 X__PPO.Fast.Length 15
27 X__PPO.Slow.Type Geometric_Mean
28 X__PPO.Slow.Length 200
29 X__PPO.Threshold 0.05
30 X__PPO.Timeframe 15 minutes
31 X__User.SuperTrend.as.exit 0
32 X__Fast.SuperTrend.time.frame 1 minute
33 X__Fast.Super.trend.ATR.Length 200